Senior Data Architect
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TowardsChange is a tech company with 50+ employees across 4 countries, specialising in designing, building, and deploying AI solutions for organisations.
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We are proudly recognised as one of the best NVIDIA European partners and a Microsoft Tier 1 partner. With 150+ clients worldwide, we combine global reach and deep technical expertise to deliver high-impact solutions.
About the RoleWe are looking for a Senior Data Architect to design, build, and scale modern cloud data platforms across Microsoft Azure and AWS. This role requires deep hands-on expertise in Microsoft Fabric, Azure Data Factory, the AWS data stack, and Python, along with a solid understanding of DevOps practices for data platforms.
You should be comfortable working in fast-paced environments, defining target data architectures, guiding engineering teams, and using AI-assisted development tools such as Claude Code or equivalent on a daily basis to accelerate delivery, improve code quality, and support documentation.
Key Responsibilities- Design end-to-end modern data architectures for analytics, reporting, AI, and operational use cases.
- Lead the implementation of data platforms using Microsoft Fabric, Azure Data Factory, and equivalent orchestration tools.
- Architect and optimize AWS-based data solutions using services such as S3, Glue, Redshift, Athena, Lake Formation, Lambda, EMR, and related components.
- Define and implement data ingestion, transformation, orchestration, storage, and serving layers across cloud environments.
- Build robust ELT/ETL pipelines and reusable data frameworks using Python.
- Establish best practices for data modeling, governance, security, lineage, quality, and cost optimization.
- Work closely with data engineers, analysts, DevOps teams, and business stakeholders to translate requirements into scalable technical solutions.
- Support CI/CD, infrastructure automation, testing, monitoring, and release management for data workloads.
- Contribute hands-on to architecture decisions, technical reviews, troubleshooting, and performance optimization.
- Use Claude Code or equivalent AI coding tools daily to support development, refactoring, documentation, code generation, and productivity improvement.
- Mentor teams on modern data architecture standards, engineering discipline, and platform best practices.
- Strong experience as a Data Architect, Cloud Data Architect, or Senior Data Engineer / Architect.
- Deep expertise with Microsoft Fabric.
- Strong hands-on experience with Azure Data Factory and similar orchestration/integration tools.
- Strong knowledge of the AWS data stack, including services such as: S3, Glue, Redshift, Athena, Lake Formation, Lambda, EMR.
- Strong Python development skills for data engineering, automation, and framework design.
- Good understanding of DevOps practices, including:
- Git-based workflows
- Infrastructure as Code
- Automated testing
- Observability and monitoring
- Environment and release management
- Strong understanding of data warehousing, lakehouse architectures, data modeling, and data governance. xuezdbg
- Experience designing secure, scalable, and maintainable cloud-native data platforms.
- Ability to work across both architecture and hands-on delivery